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Silero-VAD-v5-CoreML
Alkd/Silero-VAD-v5-CoreML
Silero-VAD-v5-CoreML is a voice activity detection model from Alkd. Use it for the voice activity detection task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
CoreML conversion of Silero VAD v5 for Apple Neural Engine.
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Repo size
620 KB
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At a glance
- Task
- Voice Activity Detection
- License
- mit
- Model type
- silero_vad_v5_coreml
- Access
- Public
- Created
- Apr 5, 2026
- Updated
- Apr 5, 2026
- SHA
- 705d3b2c
Base models
Model card
From the Hugging Face model README
Silero-VAD-v5 — CoreML
CoreML conversion of Silero VAD v5 for Apple Neural Engine.
Model Details
| Detail | Value |
|---|---|
| Architecture | STFT → Conv1d encoder → LSTM → decoder |
| Parameters | ~309K |
| Input | 512 samples (32ms @ 16kHz) |
| Output | Speech probability (0.0–1.0) |
| Size | ~4.2 MB |
Usage
let vad = try await SileroVADModel.fromPretrained(backend: .coreML)
let prob = vad.processChunk(samples)
Variants
| Variant | Backend | Model ID |
|---|---|---|
| MLX | GPU | aufklarer/Silero-VAD-v5-MLX |
| CoreML | Neural Engine | aufklarer/Silero-VAD-v5-CoreML |
Links
- Swift library: soniqo/speech-swift
- Original model: snakers4/silero-vad
Links
- Blog: blog.ivan.digital
- Library Docs: soniqo.audio
- Task
- Voice Activity Detection
- Type
- silero_vad_v5_coreml
- License
- mit
- Created
- Apr 5, 2026
- Updated
- Apr 5, 2026